ADDRESSING THE TRUSTWORTHINESS IN AUTONOMOUS SYSTEMS AND CHALLENGE OF PSYCHOLOGICAL ACCEPTABILITY OF ANTHROPOMORPHISM

Abstract

This article explores the acceptance of autonomous systems in corporate management through the contribution of anthropomorphism. By ascribing human-like qualities to machines, anthropomorphism can make or break trust and acceptance of these systems by human workers. Our research reveals that although anthropomorphized AI creates a sense of reliability and familiarity, too many human-like qualities create discomfort, the so-called "uncanny valley" effect. This study delves into the implications of such dynamics on corporate governance, with a focus on the need for ethical models and openness in the utilization of AI systems. Through an exhaustive examination of case studies as well as empirical evidence, we determine the most crucial factors affecting employee acceptance as trustworthiness, psychological preparedness, and perceived advantages from AI adoption. The study adds to knowledge about how anthropomorphism impacts the relationship between human workers and autonomous systems, eventually offering frameworks for successful regulation and control of AI technologies within business contexts.